You're reading from Hands-On Machine Learning with Microsoft Excel 2019

Product typeBook

Published inApr 2019

PublisherPackt

ISBN-139781789345377

Edition1st Edition

Tools

Excel

Concepts

Machine Learning

Author (1)

Julio Cesar Rodriguez Martino

Visualizing data for preliminary analysis

After cleaning the dataset, it is always recommended to visualize it. This helps us gain an understanding of the different variables, how their values are distributed, and the correlations that exist between them (we will explore correlations in more detail in the next chapter). We can determine which variables are important to our analyses, which ones give us more information, and which ones can be discarded for being redundant.

We will start by looking a several bar plots, where we will either count the number of occurrences of each value (using a histogram), or we will show the percentage of each value with respect to the total (using a bar plot). To achieve this, perform the following steps:

Right-click on any cell within the table to access the Quick Analysis option:

In the pop-up window, we can choose the chart type. Select Clustered...

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Hands-On Machine Learning with Microsoft Excel 2019

Published in: Apr 2019Publisher: PacktISBN-13: 9781789345377

Author (1)

Julio Cesar Rodriguez Martino

Julio Cesar Rodriguez Martino is a machine learning (ML) and artificial intelligence (AI) platform architect, focusing on applying the latest techniques and models in these fields to optimize, automate, and improve the work of tax and accounting consultants. The main tool used in this practice is the MS Office platform, which Azure services complement perfectly by adding intelligence to the different tasks. Julio's background is in experimental physics, where he learned and applied advanced statistical and data analysis methods. He also teaches university courses and provides in-company training on machine learning and analytics, and has a lot of experience leading data science teams.
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